Olga Khersonsky
- Molecular Biology top 2%
- Clinical Biochemistry top 0.2%
- Materials Chemistry top 5%
- Plant Science top 5%
- Biochemistry top 0.5%
- Co-authors
- Dan S. TawfikCintia RoodveldtLeonid GaidukovOrly DymAmir AharoniShira AlbeckDaniela RöthlisbergerDavid Baker
- Topics
- Enzyme Structure and Function (11 papers)Paraoxonase enzyme and polymorphisms (8 papers)Protein Structure and Dynamics (7 papers)
- Partner nations
- IsraelUnited StatesFrance
In The Last Decade
Olga Khersonsky
32 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 3.1k
- Clinical Biochemistry 1.1k
- Materials Chemistry 825
- Plant Science 747
- Biochemistry 575
Countries citing papers authored by Olga Khersonsky
This map shows the geographic impact of Olga Khersonsky's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Olga Khersonsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olga Khersonsky more than expected).
Fields of papers citing papers by Olga Khersonsky
This network shows the impact of papers produced by Olga Khersonsky. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Olga Khersonsky. The network helps show where Olga Khersonsky may publish in the future.
Co-authorship network of co-authors of Olga Khersonsky
This figure shows the co-authorship network connecting the top 25 collaborators of Olga Khersonsky. A scholar is included among the top collaborators of Olga Khersonsky based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Olga Khersonsky. Olga Khersonsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 56 | |
| 2 | 8 | |
| 3 | 4 | |
| 4 | 24 | |
| 5 | 18 | |
| 6 | 13 | |
| 7 | 34 | |
| 8 | 38 | |
| 9 | 192 | |
| 10 | 189 | |
| 11 | 137 | |
| 12 | 145 | |
| 13 | Kemp elimination catalysts by computational enzyme designbreakdown → | 975 |
| 14 | 196 | |
| 15 | 489 | |
| 16 | 73 | |
| 17 | 140 | |
| 18 | Structure and evolution of the serum paraoxonase family of detoxifying and anti-atherosclerotic enzymesbreakdown → | 501 |
| 19 | The 'evolvability' of promiscuous protein functionsbreakdown → | 660 |
| 20 | 115 |
About Olga Khersonsky
Olga Khersonsky is a scholar working on Clinical Biochemistry, Biochemistry and Aging, having authored 32 papers that have together received 4.8k indexed citations. Recurring topics across this work include Enzyme Structure and Function (11 papers), Paraoxonase enzyme and polymorphisms (8 papers) and Protein Structure and Dynamics (7 papers). The work is most often cited by research in Clinical Biochemistry (1.1k citations), Biochemistry (575 citations) and Molecular Biology (3.1k citations). Olga Khersonsky has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Dan S. Tawfik, Cintia Roodveldt, Leonid Gaidukov, Orly Dym, Amir Aharoni, Shira Albeck, Daniela Röthlisberger, David Baker, K. N. Houk and Sarel J. Fleishman. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.